• NSOLIB

  • Referenced in 4 articles [sw07874]
  • Fortran subroutine library for nonsmooth and nonconvex optimization problems with single or multiple objective functions...
  • blockSQP

  • Referenced in 3 articles [sw31780]
  • finding local solutions of nonlinear, nonconvex optimization problems. It is particularly suited...
  • SmallK

  • Referenced in 3 articles [sw21816]
  • approach to solving the NMF nonconvex optimization problem has proven convergence properties...
  • cGOP

  • Referenced in 3 articles [sw20093]
  • package for rigorously solving nonconvex optimization problems to global optimality. The package implements...
  • DeCODe

  • Referenced in 2 articles [sw32103]
  • high-quality decompositions of optimization problems. Nonconvex optimization problems, such as those often seen...
  • Nonconvex Pareto Navigator

  • Referenced in 3 articles [sw31871]
  • Interactive Nonconvex Pareto Navigator for multiobjective optimization. We introduce a new interactive multiobjective optimization method ... Navigator method for nonconvex problems. An approximation of the Pareto optimal front in the objective ... extrapolation beyond the given Pareto optimal outcomes. Besides handling nonconvexity, the new method contains...
  • quadprogIP

  • Referenced in 7 articles [sw36327]
  • Globally solving nonconvex quadratic programs via linear integer programming techniques . We reformulate a (indefinite) quadratic ... globally) optimal primal solutions. Reformulating a nonconvex QP as a MILP problem allows ... MILP solvers to find its global optimal solution. To illustrate this, we compare the performance...
  • Juniper

  • Referenced in 4 articles [sw26689]
  • Julia. Nonconvex mixed-integer nonlinear programs (MINLPs) represent a challenging class of optimization problems that ... applications. Because of nonconvexities, these programs are typically solved with global optimization algorithms, which have ... large-scale nonconvex MINLPs, such as those arising in infrastructure network optimization. This work proposes ... branch-and-bound algorithms as heuristics for nonconvex MINLPs...
  • OpEn

  • Referenced in 1 article [sw41781]
  • OpEn: Code Generation for Embedded Nonconvex Optimization. We present Optimization Engine (OpEn): an open-source ... generation tool for real-time embedded nonconvex optimization, which implements a novel numerical method. OpEn ... proximal averaged Newton-type method for optimal control (PANOC) with the penalty and augmented Lagrangian ... methods to compute approximate stationary points of nonconvex problems. The proposed method involves very simple...
  • LaGO

  • Referenced in 25 articles [sw02040]
  • MINLP solver developed in the DFG-project ”Optimization of a Complex Energy Conversion Plant”. Using ... heuristic) Branch and Cut algorithm for nonconvex MINLPs” and in the slides of the talk...
  • RBoost

  • Referenced in 3 articles [sw29975]
  • Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base ... compared with AdaBoost. RBoost1 and RBoost2 optimize a nonconvex loss function of the classification margin...
  • HOPSPACK

  • Referenced in 12 articles [sw04187]
  • cores). Optimization problems can be very general: functions can be noisy, nonsmooth and nonconvex, linear ... communities in mind: those who need an optimization problem solved, and those who wish...
  • HANSO

  • Referenced in 18 articles [sw05271]
  • HANSO: Hybrid Algorithm for Non-Smooth Optimization A MATLAB package based on the BFGS ... methods. For general unconstrained minimization: convex or nonconvex, smooth or nonsmooth, including BFGS, limited memory...
  • GRANSO

  • Referenced in 22 articles [sw38500]
  • intended to be efficient for constrained nonsmooth optimization problems, without any special structure or assumptions ... following: smooth or nonsmooth, convex or nonconvex, and locally Lipschitz or non-locally Lipschitz...
  • CENSO

  • Referenced in 1 article [sw15720]
  • CENSO is a framework for global optimization of nonconvex, possibly spline-constrained, MINLP problems. Convex...
  • BTN

  • Referenced in 3 articles [sw00094]
  • FORTRAN subroutines for solving unconstrained nonlinear optimization problems. It currently runs on both Intel hypercube ... numerically stable for nonconvex problems. In addition to the optimization software, a parallel derivative checker...
  • TMAC

  • Referenced in 3 articles [sw15565]
  • optimization problems, which can be both smooth and nonsmooth, convex and nonconvex, as well ... mimics how a scientist writes down an optimization algorithm. Therefore, it is easy...
  • SE-Sync

  • Referenced in 9 articles [sw40678]
  • This problem is typically formulated as a nonconvex maximum-likelihood estimation that is computationally hard ... able to efficiently recover certifiably globally optimal solutions of the special Euclidean synchronization problem...
  • QCQP

  • Referenced in 5 articles [sw27001]
  • QCQP is a package for modeling and nonconvex solving quadratically constrained quadratic programs (QCQPs) using ... CVXPY, a domain-specific language for convex optimization embedded in Python...
  • QPALM

  • Referenced in 6 articles [sw35397]
  • stationary point for most of the nonconvex QPs in the Cutest test set. Furthermore ... arising from application domains such as portfolio optimization and model predictive control. As such, QPALM...